This document discusses using emotion as a reward signal in reinforcement learning. It proposes that appraisals of a situation generate emotions, which can then drive learning. The model was implemented in the Soar cognitive architecture. In a gridworld task, the agent had to learn to navigate to a goal. Using emotion as a reward signal allowed faster learning than standard reinforcement learning. Including both emotion and mood signals led to even faster and more consistent learning. The results provide support for theories that emotion can benefit cognitive control and drive reinforcement learning.
1. BDD is an approach to software development that focuses on implementing applications by describing their behavior from the perspective of stakeholders.
2. BDD originated from limitations in test-driven development (TDD), where the focus on testing at a granular level led to emergent rather than intentional design.
3. Key principles of BDD include focusing on delivering stakeholder value, describing everything in terms of behavior, and practicing outside-in development.
The interplay of affect and cognition in consumer decision making. Baba Shiv & Alexander Fedorikhin
Buying Behavior presentation: Andreea Dicu, Raquel Gonzalez Martin,
François-Xavier Jeanne, Carmen Neghina, Algirdas Sabaliauskas
Operational Discipline: 15 Characteristics of great companies and their peopleantientropics
The document discusses operational discipline and its importance for organizational success. It defines operational discipline as a consistent pattern of behavioral choices that support success. It outlines 15 characteristics of operational discipline and explains how they connect to concepts like Level 5 leadership, a culture of discipline, and high-reliability organizations. The document also provides exercises for attendees to reflect on operational discipline in their own work experiences and organizations.
Delivering the “Internal Customer” ExperienceSrikanth Dhondi
While organizations make all kinds of efforts to enhance the experience of their external customers by investing in numerous training programs and marketing initiatives, the outcome is most often disappointing to say the least.
Customer loyalty continues to elude us and “Customer advocacy” remains a distant dream. More often than not its sheer “inertia” that prevents customers from switching.
One key aspect that could perhaps unlock the door to conquering the above challenge is by having a robust set of practices that will boost the level of “Internal Customer Centricity”.
This is because empirical research conducted by leading industrial psychologists clearly establish the link between the two aspects. In other words, it emphatically states that the extent of external customer centricity can never exceed the extent of internal customer centricity.
As a part of our endeavor to constantly partner with organizations such as yours to create customized customer centric solutions to business challenges. I am pleased to share a framework that I believe will serve as a useful filter to evaluate the relevance and efficacy of the numerous employee engagement efforts you are already making.
The framework is a synthesis of the best research that has been conducted in this area.
Tags: customer experience,internal customer,customers,training programs,Customer loyalty,Customer advocacy,Internal Customer Centricity,external customer centricity, customer centric,employee engagement,framework
Application Form For PGPBM Program :
http://www.aegisglobalacademy.com/application/application-form
This document discusses how analytics can be used as both a process and lens to gain insights across user experience (UX) and business intelligence (BI). It notes that analytics is a discovery process that powers change by thinking, looking, and changing based on data. Various tools and trends in analytics are also covered, including predictive techniques for segmentation, the importance of experimentation, and moving from extractive to inclusive design processes informed by data.
Quantifying Initiative Value & Prioritizing New Concepts SeminarRobert Brown
Our Advanced Decision Framework reveals why decision-making in business is so difficult and what you can do about it. It focuses on the aspects of human behavior and typical business analysis approaches that render decision-making prone to errors in judgment, unnecessary rework, cost, and lost opportunity. The Advanced Decision Framework provides a guided process by which leaders work collaboratively to overcome those barriers to success.
This document presents a concept map outlining Albert Bandura's social cognitive theory. The map shows that social cognitive theory posits that humans can learn through observation of modeled behaviors without reinforcement, through processes like attention, retention, production, and motivation. It depicts key concepts like self-efficacy, outcome expectations, goal setting, vicarious experiences, and reciprocal determinism.
1. BDD is an approach to software development that focuses on implementing applications by describing their behavior from the perspective of stakeholders.
2. BDD originated from limitations in test-driven development (TDD), where the focus on testing at a granular level led to emergent rather than intentional design.
3. Key principles of BDD include focusing on delivering stakeholder value, describing everything in terms of behavior, and practicing outside-in development.
The interplay of affect and cognition in consumer decision making. Baba Shiv & Alexander Fedorikhin
Buying Behavior presentation: Andreea Dicu, Raquel Gonzalez Martin,
François-Xavier Jeanne, Carmen Neghina, Algirdas Sabaliauskas
Operational Discipline: 15 Characteristics of great companies and their peopleantientropics
The document discusses operational discipline and its importance for organizational success. It defines operational discipline as a consistent pattern of behavioral choices that support success. It outlines 15 characteristics of operational discipline and explains how they connect to concepts like Level 5 leadership, a culture of discipline, and high-reliability organizations. The document also provides exercises for attendees to reflect on operational discipline in their own work experiences and organizations.
Delivering the “Internal Customer” ExperienceSrikanth Dhondi
While organizations make all kinds of efforts to enhance the experience of their external customers by investing in numerous training programs and marketing initiatives, the outcome is most often disappointing to say the least.
Customer loyalty continues to elude us and “Customer advocacy” remains a distant dream. More often than not its sheer “inertia” that prevents customers from switching.
One key aspect that could perhaps unlock the door to conquering the above challenge is by having a robust set of practices that will boost the level of “Internal Customer Centricity”.
This is because empirical research conducted by leading industrial psychologists clearly establish the link between the two aspects. In other words, it emphatically states that the extent of external customer centricity can never exceed the extent of internal customer centricity.
As a part of our endeavor to constantly partner with organizations such as yours to create customized customer centric solutions to business challenges. I am pleased to share a framework that I believe will serve as a useful filter to evaluate the relevance and efficacy of the numerous employee engagement efforts you are already making.
The framework is a synthesis of the best research that has been conducted in this area.
Tags: customer experience,internal customer,customers,training programs,Customer loyalty,Customer advocacy,Internal Customer Centricity,external customer centricity, customer centric,employee engagement,framework
Application Form For PGPBM Program :
http://www.aegisglobalacademy.com/application/application-form
This document discusses how analytics can be used as both a process and lens to gain insights across user experience (UX) and business intelligence (BI). It notes that analytics is a discovery process that powers change by thinking, looking, and changing based on data. Various tools and trends in analytics are also covered, including predictive techniques for segmentation, the importance of experimentation, and moving from extractive to inclusive design processes informed by data.
Quantifying Initiative Value & Prioritizing New Concepts SeminarRobert Brown
Our Advanced Decision Framework reveals why decision-making in business is so difficult and what you can do about it. It focuses on the aspects of human behavior and typical business analysis approaches that render decision-making prone to errors in judgment, unnecessary rework, cost, and lost opportunity. The Advanced Decision Framework provides a guided process by which leaders work collaboratively to overcome those barriers to success.
This document presents a concept map outlining Albert Bandura's social cognitive theory. The map shows that social cognitive theory posits that humans can learn through observation of modeled behaviors without reinforcement, through processes like attention, retention, production, and motivation. It depicts key concepts like self-efficacy, outcome expectations, goal setting, vicarious experiences, and reciprocal determinism.
Man org session 14_org decision making_16th august 2012vivek_shaw
This document discusses organizational decision making. It begins by noting that while rational decision making models assume no constraints, in reality individuals and organizations are boundedly rational due to limited resources, cognitive abilities, and other factors. Decision making processes in organizations are further complicated by multiple objectives, actors with different interests, and interdependencies. The case of McDonnell Douglas DC-10's defective doors is presented to illustrate how organizational decisions can go wrong due to these complexities. Key lessons are the need for awareness of non-rational factors in decision making and giving consideration to alternative viewpoints and potential mistakes.
Decision-making is usually a secondary topic in psychology, relegated to the last chapters of textbooks. Most of the time these chapters acknowledge the failure of the “homo economicus” model and propose to understand human irrationality as the product of heuristic and biases, which may be rational under certain environmental conditions. Psychology pictures decision-making as a deliberative task, studied by multiple-choice tests using the traditional paper and pen method. Psychological research on decision-making assumes that the subjects’ competence in probabilistic reasoning – as revealed by these tests – is a good description of their decision-making capacities. This conception takes for granted (1) that the process of reasoning about action is identical to the process of decision-making and (2) that psychology documents either human failures to comply with rational-choice standards or how mental mechanisms are ecologically rational. In this talk, I argue that decision neuroscience (“neuroeconomics”) may suggest another approach for the study and the nature of decision-making. Research in this field show that information processing in decision is affective, embodied and prosocial: Evolutionary older neural structures, such as the limbic system or dopaminergic neurons, are highly involved in subjective risk and certainty assessment; somatosensory information is integrated in prefrontal areas and helps evaluating choices; In games where players may adopt fair or unfair attitudes, the first ones tend to be more frequent and the second ones elicit emotionally negative reaction.
Moreover, I suggest (against bounded rationality) that these mechanisms achieve near-optimality in social decision-making and (against ecological rationality) that this optimality is not fitness-enhancing. Consequently, I argue that the study of decision-making should be construed as an investigation into “natural rationality” (the mechanisms by which cognitive agents make decisions) and that decision-making should be a central concern for psychology.
The document discusses social loafing, which is the tendency for individuals to exert less effort when working collectively compared to working individually. It defines social loafing and identifies three key causes: 1) perceived task visibility, 2) perceived loafing of co-workers, and 3) perceived relative task abilities. These causes can increase social loafing in group settings, especially when performance is assessed based on pooled group efforts rather than individual contributions.
The document discusses implementing aggregate awareness in SAP BusinessObjects 3.1. It describes aggregate awareness as a process that incorporates higher-level data aggregation (summary tables) into universes to speed up queries. It covers adding summary tables to universes, using the @Aggregate_Aware function to select from most to least aggregated data, redefining objects to apply this function, and testing aggregate awareness in reports. The goal is to improve query efficiency by reducing the number of rows retrieved and calculations needed through using pre-aggregated summary data.
This document provides an overview of the Yale Graduate Student Consulting Club's interview bootcamp. It discusses the key steps in the interview process, including resume and cover letters, problem solving tests, and interviews. It then outlines the case interview structure and provides tips for each step, such as prioritizing issues, developing testable hypotheses, and managing client reactions. The goal is to prepare students for the long journey to securing a job offer at a consulting firm.
This document outlines a 4-step process to address communication problems within an organization:
1. Identify all problems such as unclear reporting structure and lack of feedback.
2. Analyze the causes like decisions being too centralized.
3. Identify and evaluate potential solutions like decentralizing authority or improving technology/location.
4. Implement the best solution which is determined to be decentralizing management to allow for faster, more direct decision making.
Neuromarketing the hope and hype of neuroimaging in businessAnna Jo
Neuromarketing uses neuroimaging to answer 3 questions for businesses: reveal hidden information about consumer preferences, provide more cost-effective marketing research than traditional methods, and give early feedback during product design. It measures brain activity and uses techniques like fMRI, MVPA, and reverse inference to study regions involved in reward, preference, and decision-making. While it could help design desirable products, there are also concerns it could manipulate consumers or reveal sensitive information to competitors.
Kevin McGrew IM Keynote Oct 2012. Use of movement in slides is not present in this static SlideShare show ..the red circle bounces around in the live presentation.
Keynote by Michael Wellman at The 15th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2012) during the Knowledge Technology Week (KTW2012). September 3 - 7, 2012. Kuching, Sarawak, Malaysia
This presentation sets out how to use data collection and player analytics in online games to create better experiences and environments for players. The Games Industry can use data and analytics to create pro-active Player Relationship Management and increase revenues and engagements.
The document contains an agenda for Dean Sandler that includes clients, board of directors, strategy meetings, key trends reports, preliminary company valuations, medical reports, training, and visions. It also includes charts, graphs, templates, and presentations. The document provides an overview of Dean Sandler's schedule and materials across various industries including media, financial services, pharmaceuticals, and more.
This document discusses high performing and low performing teams. It notes that high performing teams have common goals, diversity, knowledge of team members, open communication, constructive conflict, information sharing, and comfort with feedback. Low performing teams have conflicting goals, closed communication, lack of feedback, destructive conflict, lack of vision, unclear expectations, and unclear roles. The document recommends using assessments to understand strengths, preferences, and styles in order to avoid conflict and leverage diversity to maximize creativity and innovation.
A CIO’s Perspective: Reconciling Risk Management with Disaster Recovery Tacti...IT Network marcus evans
A CIO’s Perspective: Reconciling Risk Management with Disaster Recovery Tactics by Sanjay Verma, Global Business Process, IT Risk & Compliance Manager, Foster’s Group (SABMiller) at the Australian CIO Summit 2012
The document outlines a systematic approach for appraising small and medium enterprises through analyzing nine key dimensions of business performance and their interrelationships. It emphasizes focusing on the vital few critical issues, assumptions, risks, metrics, and trends in each dimension. The approach is intended to help appraisers identify both strengths and weaknesses to assess the overall risk profile and robustness of a business proposition.
Telephone improvement project–year 2 ongoing assessment of refractive surgery...SM2 Strategic
Three sentences:
1) An ongoing study assessed the telephone skills of refractive surgery providers, finding some improvement in average call scores from year one to two but still room for growth, with less than half of calls scoring well.
2) The study identified three aspects of calls that were strongly correlated with lower conversion rates: qualifying the caller's interest, creating perceived value of the procedure, and proposing a clear next step for the caller.
3) Focusing call training on these three elements could significantly improve conversion rates and reduce the cost of marketing per surgical patient for practices.
Executive functions refer to higher cognitive processes that control planning, attention, problem solving, and behavior. The study evaluated 15 patients with acquired brain injury using the Addenbrooke's Cognitive Assessment to assess cognition and executive functions. Key findings were that verbal fluency and attention were most impaired. Memory and concentration were also affected. These executive dysfunctions had implications for learning, task performance, and decision making. Most patients required support services after discharge such as monitoring or community support.
This document discusses measuring engagement within educational multimedia environments. It defines engagement for gaming as qualities that pull people in, like immersion or challenge, and engagement for learning as the nexus of intrinsic interest and external stimuli that promote initial interest. Both overt and covert measures of engagement are examined, including observational analysis, think-aloud protocols, surveys, interviews, and physiological data like skin conductivity and eye tracking. The use of physiological data to measure constructs like engagement, arousal, effort, attention, emotions is described. The document provides an example experiment using sensors to measure engagement while players use the game Guitar Hero at different skill levels. Measuring engagement can allow for dynamic difficulty adjustment, expanding demographics, and increasing time on task,
This document discusses the importance of knowledge sharing in decision-making and implementation. It covers several key topics:
1) Knowledge is the human capacity to take effective action in uncertain situations. Sharing knowledge, which can include feelings, insights, and past experiences, is more difficult than sharing information.
2) Effective knowledge sharing requires trust, respect, honesty, open dialogue, and social bonding between individuals. The brain is designed to learn through social interactions and affective attunement with others.
3) Knowledge comes from processes like awareness, understanding, creativity, and intuition. Learning occurs through the knowledge cycle of social interaction, experience, thinking, and feedback. Knowledge creation supports better decisions, problem solving, and
Perception is the process of receiving and interpreting sensory information. It involves selecting stimuli, organizing that information, and attributing meaning based on existing knowledge and biases. Perception is influenced by factors within the perceiver like attitudes, motives, and expectations, factors within the target like novelty and size, and situational factors like time and social context. People use perceptual shortcuts like selective perception, halo effects, stereotyping, and projection to make judgments about others.
Man org session 14_org decision making_16th august 2012vivek_shaw
This document discusses organizational decision making. It begins by noting that while rational decision making models assume no constraints, in reality individuals and organizations are boundedly rational due to limited resources, cognitive abilities, and other factors. Decision making processes in organizations are further complicated by multiple objectives, actors with different interests, and interdependencies. The case of McDonnell Douglas DC-10's defective doors is presented to illustrate how organizational decisions can go wrong due to these complexities. Key lessons are the need for awareness of non-rational factors in decision making and giving consideration to alternative viewpoints and potential mistakes.
Decision-making is usually a secondary topic in psychology, relegated to the last chapters of textbooks. Most of the time these chapters acknowledge the failure of the “homo economicus” model and propose to understand human irrationality as the product of heuristic and biases, which may be rational under certain environmental conditions. Psychology pictures decision-making as a deliberative task, studied by multiple-choice tests using the traditional paper and pen method. Psychological research on decision-making assumes that the subjects’ competence in probabilistic reasoning – as revealed by these tests – is a good description of their decision-making capacities. This conception takes for granted (1) that the process of reasoning about action is identical to the process of decision-making and (2) that psychology documents either human failures to comply with rational-choice standards or how mental mechanisms are ecologically rational. In this talk, I argue that decision neuroscience (“neuroeconomics”) may suggest another approach for the study and the nature of decision-making. Research in this field show that information processing in decision is affective, embodied and prosocial: Evolutionary older neural structures, such as the limbic system or dopaminergic neurons, are highly involved in subjective risk and certainty assessment; somatosensory information is integrated in prefrontal areas and helps evaluating choices; In games where players may adopt fair or unfair attitudes, the first ones tend to be more frequent and the second ones elicit emotionally negative reaction.
Moreover, I suggest (against bounded rationality) that these mechanisms achieve near-optimality in social decision-making and (against ecological rationality) that this optimality is not fitness-enhancing. Consequently, I argue that the study of decision-making should be construed as an investigation into “natural rationality” (the mechanisms by which cognitive agents make decisions) and that decision-making should be a central concern for psychology.
The document discusses social loafing, which is the tendency for individuals to exert less effort when working collectively compared to working individually. It defines social loafing and identifies three key causes: 1) perceived task visibility, 2) perceived loafing of co-workers, and 3) perceived relative task abilities. These causes can increase social loafing in group settings, especially when performance is assessed based on pooled group efforts rather than individual contributions.
The document discusses implementing aggregate awareness in SAP BusinessObjects 3.1. It describes aggregate awareness as a process that incorporates higher-level data aggregation (summary tables) into universes to speed up queries. It covers adding summary tables to universes, using the @Aggregate_Aware function to select from most to least aggregated data, redefining objects to apply this function, and testing aggregate awareness in reports. The goal is to improve query efficiency by reducing the number of rows retrieved and calculations needed through using pre-aggregated summary data.
This document provides an overview of the Yale Graduate Student Consulting Club's interview bootcamp. It discusses the key steps in the interview process, including resume and cover letters, problem solving tests, and interviews. It then outlines the case interview structure and provides tips for each step, such as prioritizing issues, developing testable hypotheses, and managing client reactions. The goal is to prepare students for the long journey to securing a job offer at a consulting firm.
This document outlines a 4-step process to address communication problems within an organization:
1. Identify all problems such as unclear reporting structure and lack of feedback.
2. Analyze the causes like decisions being too centralized.
3. Identify and evaluate potential solutions like decentralizing authority or improving technology/location.
4. Implement the best solution which is determined to be decentralizing management to allow for faster, more direct decision making.
Neuromarketing the hope and hype of neuroimaging in businessAnna Jo
Neuromarketing uses neuroimaging to answer 3 questions for businesses: reveal hidden information about consumer preferences, provide more cost-effective marketing research than traditional methods, and give early feedback during product design. It measures brain activity and uses techniques like fMRI, MVPA, and reverse inference to study regions involved in reward, preference, and decision-making. While it could help design desirable products, there are also concerns it could manipulate consumers or reveal sensitive information to competitors.
Kevin McGrew IM Keynote Oct 2012. Use of movement in slides is not present in this static SlideShare show ..the red circle bounces around in the live presentation.
Keynote by Michael Wellman at The 15th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2012) during the Knowledge Technology Week (KTW2012). September 3 - 7, 2012. Kuching, Sarawak, Malaysia
This presentation sets out how to use data collection and player analytics in online games to create better experiences and environments for players. The Games Industry can use data and analytics to create pro-active Player Relationship Management and increase revenues and engagements.
The document contains an agenda for Dean Sandler that includes clients, board of directors, strategy meetings, key trends reports, preliminary company valuations, medical reports, training, and visions. It also includes charts, graphs, templates, and presentations. The document provides an overview of Dean Sandler's schedule and materials across various industries including media, financial services, pharmaceuticals, and more.
This document discusses high performing and low performing teams. It notes that high performing teams have common goals, diversity, knowledge of team members, open communication, constructive conflict, information sharing, and comfort with feedback. Low performing teams have conflicting goals, closed communication, lack of feedback, destructive conflict, lack of vision, unclear expectations, and unclear roles. The document recommends using assessments to understand strengths, preferences, and styles in order to avoid conflict and leverage diversity to maximize creativity and innovation.
A CIO’s Perspective: Reconciling Risk Management with Disaster Recovery Tacti...IT Network marcus evans
A CIO’s Perspective: Reconciling Risk Management with Disaster Recovery Tactics by Sanjay Verma, Global Business Process, IT Risk & Compliance Manager, Foster’s Group (SABMiller) at the Australian CIO Summit 2012
The document outlines a systematic approach for appraising small and medium enterprises through analyzing nine key dimensions of business performance and their interrelationships. It emphasizes focusing on the vital few critical issues, assumptions, risks, metrics, and trends in each dimension. The approach is intended to help appraisers identify both strengths and weaknesses to assess the overall risk profile and robustness of a business proposition.
Telephone improvement project–year 2 ongoing assessment of refractive surgery...SM2 Strategic
Three sentences:
1) An ongoing study assessed the telephone skills of refractive surgery providers, finding some improvement in average call scores from year one to two but still room for growth, with less than half of calls scoring well.
2) The study identified three aspects of calls that were strongly correlated with lower conversion rates: qualifying the caller's interest, creating perceived value of the procedure, and proposing a clear next step for the caller.
3) Focusing call training on these three elements could significantly improve conversion rates and reduce the cost of marketing per surgical patient for practices.
Executive functions refer to higher cognitive processes that control planning, attention, problem solving, and behavior. The study evaluated 15 patients with acquired brain injury using the Addenbrooke's Cognitive Assessment to assess cognition and executive functions. Key findings were that verbal fluency and attention were most impaired. Memory and concentration were also affected. These executive dysfunctions had implications for learning, task performance, and decision making. Most patients required support services after discharge such as monitoring or community support.
This document discusses measuring engagement within educational multimedia environments. It defines engagement for gaming as qualities that pull people in, like immersion or challenge, and engagement for learning as the nexus of intrinsic interest and external stimuli that promote initial interest. Both overt and covert measures of engagement are examined, including observational analysis, think-aloud protocols, surveys, interviews, and physiological data like skin conductivity and eye tracking. The use of physiological data to measure constructs like engagement, arousal, effort, attention, emotions is described. The document provides an example experiment using sensors to measure engagement while players use the game Guitar Hero at different skill levels. Measuring engagement can allow for dynamic difficulty adjustment, expanding demographics, and increasing time on task,
This document discusses the importance of knowledge sharing in decision-making and implementation. It covers several key topics:
1) Knowledge is the human capacity to take effective action in uncertain situations. Sharing knowledge, which can include feelings, insights, and past experiences, is more difficult than sharing information.
2) Effective knowledge sharing requires trust, respect, honesty, open dialogue, and social bonding between individuals. The brain is designed to learn through social interactions and affective attunement with others.
3) Knowledge comes from processes like awareness, understanding, creativity, and intuition. Learning occurs through the knowledge cycle of social interaction, experience, thinking, and feedback. Knowledge creation supports better decisions, problem solving, and
Perception is the process of receiving and interpreting sensory information. It involves selecting stimuli, organizing that information, and attributing meaning based on existing knowledge and biases. Perception is influenced by factors within the perceiver like attitudes, motives, and expectations, factors within the target like novelty and size, and situational factors like time and social context. People use perceptual shortcuts like selective perception, halo effects, stereotyping, and projection to make judgments about others.
Encoding & decoding Situations: Presentation to Division of Occupational Psyc...Michael Burnett
Simulation-based assessment can be enriched using cognitive models of how to represent and deal with situations.
Two innovations are used in a low fidelity simulation:
• Measures of performance including accuracy of situational comprehension and memory to complement situational judgement and encoding;
• Design of situation event structures to elicit and help categorise biases in the way situations are judged and remembered.
The results show how pre-existing traits influence, but do not determine, response selection and biases in the interpretation of what happened in a situation.
Perception is the process by which individuals organize and interpret their sensory impressions to give meaning to their environment. It involves selecting stimuli, organizing that information, and interpreting it based on existing knowledge. Perception is influenced by factors in the perceiver like attitudes and expectations, factors in the target or situation like size and social context, and cognitive processes like figure-ground perception and perceptual grouping. When perceiving others, shortcuts like stereotyping and halo effects can influence judgments beyond actual behaviors observed.
Perception is the process by which individuals organize and interpret their sensory impressions to give meaning to their environment. It involves selecting stimuli, organizing that information, and interpreting it based on existing knowledge. Perception is influenced by factors in the perceiver like attitudes and expectations, factors in the target like size and motion, and situational factors like time and social setting. The perceptual process involves grouping stimuli into meaningful patterns through principles of figure-ground relationships, proximity, closure and similarity. When perceiving others, people make attributions about the causes of behaviors and use shortcuts like stereotyping, halo effects, and selective perception.
The document discusses several theories of work motivation:
1. Vroom's Expectancy Theory (VIE Theory) proposes that employees will work harder if they believe their efforts will lead to valued rewards. It involves valence, instrumentality, and expectancy.
2. Porter Lawler Model extends Vroom's theory, exploring the relationship between motivation, satisfaction, and performance. It identifies effort, performance, rewards, and satisfaction as important variables.
3. Equity Theory proposes that an employee's work performance and satisfaction depends on their perception of equity or inequity compared to others' situations.
4. Attribution Theory concerns how people interpret events and relates this to their thinking and behavior, describing how people explain influences
PERCEPTION AND INDIVIDUAL DECISION MAKINGAli Zeeshan
This document discusses various topics related to individual perception and decision making. It covers how perception is influenced by factors in the perceiver, situation, and target. Attribution theory is explained, specifically how people make internal or external attributions about others' behavior. Common biases and shortcuts in judgement like the fundamental attribution error are also reviewed. The rational model of decision making is outlined along with common biases. Individual differences and organizational constraints that can impact decisions are described. Three ethical decision making criteria and the importance of creativity to decision making are also summarized.
Neural mechanisms of decision making - emotion vs. cognitionKyongsik Yun
1. The document summarizes research on the neural mechanisms underlying decision making, specifically how emotion and cognition interact.
2. Key areas discussed include the anterior insula, anterior cingulate cortex, and dorsolateral prefrontal cortex in processing fairness valuation and reward anticipation.
3. Computational models are proposed to formally describe how fairness is computed within the brain based on expected rewards and rewards of others through temporal difference learning.
Building Competencies Ihrd Conf Presentation Chandramowlygueste6e6f5f
The document outlines a conceptual framework for competency mapping, assessment, and development, covering the history of competencies in HR from the 1930s to present day. It provides definitions of competencies and the process for developing a competency model, including identifying performance measures, defining competencies, developing an initial model, and validating the model. The framework also discusses how competency models can be integrated into HR systems for individual development, organizational assessment, talent management, and other applications.
Dave snowden practice without sound theory will not scaleAGILEMinds
This document discusses complexity theory and its application to organizational management. It argues that traditional systems thinking has limitations and a new approach is needed that is informed by complexity science and cognitive science. It presents key concepts from complexity theory like emergence and phase transitions. It also emphasizes the importance of narratives, rituals, and networks between groups.
" Optimizing Motivation, Learning and Behavior Change in your Serious Game" B...SeriousGamesAssoc
Scott Rigby speaks about "Optimizing Motivation, Learning and Behavior Change in your Serious Game" at the 2012 Serious Play Conference
ABSTRACT:
The goal of serious games is not the game itself. The game mechanics are but a tactic to the true goals of creating a deeper sustained engagement with users that results in deeper learning, greater behavior change, and sustained value. As such, the real key to understanding how to strategize, design, and deploy serious games in domains such as health, education, and training lies in understanding the basic psychological needs of users, designing experiences that facilitate these needs to intrinsically deepen motivation and achieve the desired goals.
This session will review a highly validated applied model of motivation - the "Player Experience of Need Satisfaction" - that is based in 30 years of behavioral science research using a leading theory of motivation (Self-Determination Theory). Examples of practical application in education, health care, and other domains will be given throughout the talk to provide the audience with clear, practical takeaways.
Utility and neuroscience: a mechanistic approach of decision-making and ratio...Benoit Hardy-Vallée, Ph.D.
This document discusses neuroeconomics, which is the study of the neural mechanisms of decision-making and their economic significance. It provides several definitions of neuroeconomics from the literature. The key methods of neuroeconomics include developing behavioral tests of decision tasks, comparing theory/data, and using various neural studies like imaging to understand the biological mechanisms underlying decisions. Some examples discussed are studies looking at neural responses related to pricing, risk/ambiguity, ultimatum games, and trust games. The document argues that mechanistic models of decision-making that identify specific causal entities and their interactions have advantages over other types of models in providing explanations and predictions that can be integrated with other domains. However, it notes that inferring preferences from
Diagnosing behavioral problems and perceptionEui Jung Hwang
1. Diagnosing behavioral problems in organizations involves identifying expected versus actual behaviors to determine the "behavioral gap" and potential causes such as motivation, skills, resources, or role expectations.
2. Perception is the process of understanding one's environment through sensory information and prior experiences, and is subject to selective factors like attention and motivation.
3. Theories of intelligence include general cognitive ability, primary mental abilities, multiple intelligences accounting for different skills, and triarchic theories emphasizing analytical, creative, and practical abilities.
At the Advertising Research Foundation’s (ARF) 2011 annual re:think convention, a key issues forum presentation was held entitled The Power of Relevancy The Biometric Impact of Online Advertising. The presentation includes topics such as measuring the biological impact, and the contextual and personal relevancy of ads. The presenters include Tony Marlow-Strategic Insights at YAHOO! & Brian Levine-President of Innerscope Research.
Hearts, Minds, Will, Body, World, Tribe A Framework for Considering Consumer ...Huw Hepworth
A paper and presentation that outlines the PEACCC framework for classifying consumer behaviour, where PEACCC stands for:
Physical
Environmental
Affective
Cognitive
Conative
Cultural
Representing Situations in Assessment - Getting better value from our investmentMichael Burnett
The document discusses situational effects in assessments. It finds that (1) simulations provide low incremental validity over context-free measures, (2) situational models provide a better fit than trait-only models for assessment center data, and (3) situational influences can be disentangled from traits using situational judgement tests. Cognitive models of situations show how encoding and judgments are affected by various situational dimensions. Improving assessments requires evaluating both situational and dispositional factors.
Presentation to WorldComp12: Engagement is the new standard of usability. Identity project as task-based versus experientially-based, then design for Flow and Narrative Transportation using research-based techniques. Introduces the Positive Engagement Evaluation Model.
Similar to Marinier Laird Cogsci 2008 Emotionrl Pres (20)
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
2. 2
Introduction
• Interested in the functional benefits of emotion
for a cognitive agent
▫ Appraisal theories of emotion
▫ PEACTIDM theory of cognitive control
• Use emotion as a reward signal to a
reinforcement learning agent
▫ Demonstrates a functional benefit of emotion
▫ Provides a theory of the origin of intrinsic reward
3. 3
Outline
• Background
▫ Integration of emotion and cognition
▫ Integration of emotion and reinforcement learning
▫ Implementation in Soar
• Learning task
• Results
4. 4
Appraisal Theories of Emotion
• A situation is evaluated along a number of appraisal
dimensions, many of which relate the situation to
current goals
▫ Novelty, goal relevance, goal conduciveness, expectedness,
causal agency, etc.
• Appraisals influence emotion
• Emotion can then be coped with (via internal or
external actions)
Situation
Goals
Coping Appraisals
Emotion
5. 5
Appraisals to Emotions (Scherer 2001)
Joy Fear Anger
High/medium High High
Suddenness
High High High
Unpredictability
Low
Intrinsic pleasantness
High High High
Goal/need relevance
Other/nature Other
Cause: agent
Chance/intentional Intentional
Cause: motive
Very high High Very high
Outcome probability
Discrepancy from High High
expectation
Very high Low Low
Conduciveness
High
Control
Very low High
Power
6. 6
Cognitive Control: PEACTIDM (Newell 1990)
Perceive Obtain raw perception
Encode Create domain-independent
representation
Attend Choose stimulus to process
Comprehend Generate structures that relate stimulus
to tasks and can be used to inform
behavior
Task Perform task maintenance
Intend Choose an action, create prediction
Decode Decompose action into motor commands
Motor Execute motor commands
7. 7
Unification of PEACTIDM and Appraisal Theories
Perceive
Environmental Raw Perceptual
Change Information
Motor Encode
Suddenness
Stimulus
Unpredictability
Motor Relevance
Goal Relevance
Commands Intrinsic Pleasantness
Prediction
Outcome
Decode Attend
Probability
Causal Agent/Motive
Action Stimulus chosen
Discrepancy
for processing
Conduciveness
Control/Power
Intend Comprehend
Current Situation
Assessment
8. 8
Distinction between emotion, mood, and feeling
(Marinier & Laird 2007)
• Emotion: Result of appraisals
▫ Is about the current situation
• Mood: “Average” over recent emotions
▫ Provides historical context
• Feeling: Emotion “+” Mood
▫ What agent actually perceives
13. 14
Learning task: Encoding
North
Passable: false
On path: false
Progress: true
East
West
Passable: false
Passable: false
On path: true
On path: false
Progress: true
Progress: true
South
Passable: true
On path: true
Progress: true
14. 15
Learning task: Encoding & Appraisal
North
Intrinsic Pleasantness: Low
Goal Relevance: Low
Unpredictability: High
East
West
Intrinsic Pleasantness: Low
Intrinsic Pleasantness: Low
Goal Relevance: High
Goal Relevance: Low
Unpredictability: High
Unpredictability: High
South
Intrinsic Pleasantness: Neutral
Goal Relevance: High
Unpredictability: Low
15. 16
Learning task: Attending,
Comprehending & Appraisal
South
Intrinsic Pleasantness: Neutral
Goal Relevance: High
Unpredictability: Low
Conduciveness: High
Control: High …
18. 19
What is being learned?
• When to Attend vs Task
• If Attending, what to Attend to
• If Tasking, which subtask to create
• When to Intend vs. Ignore
20. 21
Results: With and without mood
300
Median Processing Cycles
290
280
270
260
250
240
8 9 10 11 12 13 14 15
Episode
Feeling=Emotion Feeling=Emotion+Mood Optimal
21. 22
Discussion
• Agent learns both internal (tasking) and external
(movement) actions
• Emotion allows for more frequent rewards, and
thus learns faster than standard RL
• Mood “fills in the gaps” allowing for even faster
learning and less variability
22. 23
Conclusion & Future Work
• Demonstrated computational model that integrates
emotion and cognitive control
• Confirmed emotion can drive reinforcement learning
• We have already successfully demonstrated similar
learning in a more complex domain
• Would like to explore multi-agent scenarios